New Machine Learning Study Findings Have Been Reported by Investigators at CMR Institute of Technology (An Efficient and Hybrid Pulse Coupled Neural Network - Based Object Detection Framework Based On Machine Learning)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Machine Learning have been published. According to news reporting out of Bengaluru, India, by NewsRx editors, research stated, “The objective of fusing Infrared (IR) and Visible Image (VI) is to obtain essential information and reproduce an image with high reliability for human vision. Existing fusion methods are characterized by loss of information in fusion process thereby leading to lack of precision.” Our news journalists obtained a quote from the research from the CMR Institute of Technology, “To preserve the information, a novel fusion method is proposed in this research work by utilizing a pulse coupled neural network-based image fusion methodology. Proposed work integrates the visible image and IR image and generates a fused image with enhanced information. Further, the fused image and non-image data are used to detect the query objects like human and other objects using a convolutional neural network model. The proposed work is apt and suitable for surveillance applications, to analyze the scene in an effective manner.”